Kamada (KMDA) Total Liabilities (2012 - 2026)
Kamada's Total Liabilities came in at $113.6 million for the quarter ended Jun 30, 2026, up 5.0% from $108.22 million a year earlier but down 8.1% from the prior quarter.
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Analysis
Kamada (KMDA) Total Liabilities (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Kamada's Total Liabilities was $109.64 million, down 2.8% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of 27.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $112.79 million in the year ended Dec 31, 2024 (+1.7%), $110.89 million in the year ended Dec 31, 2023 (-24.2%), $146.36 million in the year ended Dec 31, 2022 (+3.2%) and $141.84 million in the year ended Dec 31, 2021 (+342.9%).
- The five-year range for quarterly Total Liabilities is $34.91 million (the quarter ended Sep 30, 2021) to $303.96 million (the quarter ended Jun 30, 2022).
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 7.6%.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Jun 30, 2022 (growth of 793.8%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 54.7%).
- Business Quant data shows KMDA's Total Liabilities at $123.63 million (quarter ended Mar 31, 2026), $109.64 million (quarter ended Dec 31, 2025) and $111.98 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Kamada | 497.25 Mn | 206.31 Mn | 22.47 Mn | 113.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.60 Mn |
| Mar 31, 2026 | 123.63 Mn |
| Dec 31, 2025 | 109.64 Mn |
| Sep 30, 2025 | 111.98 Mn |
| Jun 30, 2025 | 108.22 Mn |
| Mar 31, 2025 | 123.15 Mn |
| Dec 31, 2024 | 112.79 Mn |
| Sep 30, 2024 | 95.94 Mn |
| Jun 30, 2024 | 99.89 Mn |
| Mar 31, 2024 | 92.02 Mn |
| Dec 31, 2023 | 110.89 Mn |
| Sep 30, 2023 | 98.67 Mn |
| Jun 30, 2023 | 137.64 Mn |
| Mar 31, 2023 | 141.99 Mn |
| Dec 31, 2022 | 146.36 Mn |
| Sep 30, 2022 | 147.09 Mn |
| Jun 30, 2022 | 303.96 Mn |
| Mar 31, 2022 | 127.95 Mn |
| Dec 31, 2021 | 141.84 Mn |
| Sep 30, 2021 | 34.91 Mn |
API Access
Kamada Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=KMDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KMDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();